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Showing 1 to 6 of 6 for “"Learning from Observation"”.

  1. Robust imitation learning from observation

    Imitation learning, sometimes referred as learning from demonstrations, has been used in real world scenarios because of its sample efficiency and computational feasibility, such as autonomous driving and robotics control. However, imitation learning often suffers from compounding error and data …

    uiuc Repository record for Robust imitation learning from observation (opens in a new tab)

  2. A Comparison of Case-Based Reasoning and Probabilistic Graphical Models in the Context of Learning from Observation

    Learning from observation is a technique whereby learning occurs through observation or experience. In this work, we compare two existing techniques of learning from observation: Probabilistic Graphical Models (PGM) and Case-Based Reasoning (CBR) with the goal of identifying a preferred approach …

    carleton Repository record for A Comparison of Case-Based Reasoning and Probabilistic Graphical Models in the Context of Learning from Observation (opens in a new tab)

  3. Famtile: An Algorithm For Learning High-level Tactical Behavior From Observation

    This research focuses on the learning of a class of behaviors defined as high-level behaviors. High-level behaviors are defined here as behaviors that can be executed using a sequence of identifiable behaviors. Represented by low-level contexts, these behaviors are known a priori to learning and …

    ucf

  4. Representation Learning for Agents in Non-Markovian Environments

    This thesis focuses on representation learning for agents that seek to acquire an environment model by interacting with the environment and learning from observation data. Simplified models such as Markov Decision Processes (MDP), which assume a fully observable state and independence of the future …

    aus-cath Repository record for Representation Learning for Agents in Non-Markovian Environments (opens in a new tab)

  5. Representation Learning for Agents in Non-Markovian Environments

    This thesis focuses on representation learning for agents that seek to acquire an environment model by interacting with the environment and learning from observation data. Simplified models such as Markov Decision Processes (MDP), which assume a fully observable state and independence of the future …

    anu Repository record for Representation Learning for Agents in Non-Markovian Environments (opens in a new tab)

  6. Exploring the Cephalopod Brain: Towards Mapping the First Whole Brain Connectome and Whole Animal Projectome of a Pygmy Squid

    … demonstrate higher-order abilities, such as learning from observation and tool manipulation. Comparisons with vertebrates are common, not only due to their remarkable intelligence but also because of their anatomically and functionally similar eyes, whose overall morphological configuration …

    cambridge Repository record for Exploring the Cephalopod Brain: Towards Mapping the First Whole Brain Connectome and Whole Animal Projectome of a Pygmy Squid (opens in a new tab)